Resilience as an Adaptation Strategy of Agroecosystems in the light of Climate Change

2020 ◽  
Vol 13 (11) ◽  
Author(s):  
I. Quiroz Guerrero ◽  
A. Pérez Vázquez ◽  
Cesáreo Landeros-Sánchez ◽  
Felipe Gallardo-López ◽  
Joel Velasco-Velasco ◽  
...  
Keyword(s):  
Climate Change ◽  
Environmental Governance ◽  
Adaptation Strategy ◽  
Emergent Property ◽  
Climate Change Scenarios ◽  
Vulnerability Reduction ◽  
Capacity Limitations ◽  
Learning Capacity ◽  
Governance Risk ◽  
Self Learning

Objective: Analyze the concept of resilience as an agroecosystem property to deal with the possible outcomes of climate change. Methodology: The literature was analyzed concerning concepts of resilience, vulnerability, climate change scenarios and agroecosystems resilience. Results: The resilience is an emergent property and is part of the agroecosystem trajectory, and it also is closely related with the adaptability and self-learning capacity. Limitations of the study: The strengthening of weak elements should be encouraged and promoted the agroecosystem controller feedback to increase his adaptive capacities. Conclusions: Promotion of agroecosystems resilience must start by integrating indicators in environmental, governance, risk assessment, knowledge and education dimensions, management and vulnerability reduction, and preparedness and response for disasters.

scholarly journals Adaptación de la agricultura a escenarios de cambio global. Aplicación de métodos participativos en la cuenca del río Júcar (España)

2019 ◽  
Vol 18 (2) ◽  
pp. 29 ◽  
Author(s):  
Mar Ortega-Reig ◽  
Marta García-Mollá ◽  
Carles Sanchis-Ibor ◽  
Manuel Pulido-Velázquez ◽  
Corentin Girard ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Change ◽  
Climate Change Impacts ◽  
Adaptation Strategy ◽  
Climate Change Scenarios ◽  
Adaptation Measures ◽  
La Mancha ◽  
Local Impacts ◽  
Del Rio ◽  
Adaptation Processes

<p>This paper develops a participatory methodology to integrate farmer’s vision in the design of an adaptation strategy to global change in the Jucar River basin. It aims at answering three questions: How farmers perceive climate change impacts; which adaptation measures they consider; and how they assess these measures. Participatory workshops with different actors were held in two areas (La Ribera and La Mancha Oriental). This methodology has allowed identifying the local impacts and consequences of global change, and the difficulties of the adaptation processes to climate change scenarios.</p>

scholarly journals Alternatives to Long Distance Resettlement for Urban Informal Settlements Affected By Disaster and Climate Change

2019 ◽  
Author(s):  
Brent Doberstein
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Informal Settlements ◽  
Field Research ◽  
Secondary Data ◽  
Adaptation Strategy ◽  
Development Project ◽  
Climate Change Scenarios ◽  
Long Distance ◽  
Urban Informal Settlements

Planned or managed resettlement is increasingly being seen as a logical and legitimate disaster risk reduction and climate change adaptation strategy for urban informal settlements in many developing country cities. Our understanding of the 50+ year history of “Development-induced Displacement” (i.e. resettlement for resource extraction or development project purposes) strongly suggests that resettlement, particularly long distance resettlement, often triggers significant, negative impacts for resettled communities. We now understand that long distance resettlement should be seen as an option of last resort. Under most climate change scenarios, informal settlements in coastal, or riverside locations are expected to be impacted negatively by climatic change, and thus the question of whether or not to resettle (despite the negatives associated with this) still arises. This paper will present several emerging and innovative alternatives to long distance resettlement, including the so-called “vertical resettlement”, amphibious and floating housing, “near-site” resettlement, and in-situ climate change adaptation/upgrading. These alternatives collectively allow for a local “re-imagining of informal settlements” rather than simply “resettlement”. The research methods used in this paper include a review of secondary data (n=20), and limited primary field research involving resettlement site observation and several key informant interviews (n=2).

Adaptación de la agricultura a escenarios de cambio global. Aplicación de métodos participativos en la cuenca del río Júcar (España)

2019 ◽  
Vol 18 (2) ◽  
pp. 29 ◽  
Author(s):  
Mar Ortega-Reig ◽  
Marta García-Mollá ◽  
Carles Sanchis-Ibor ◽  
Manuel Pulido-Velázquez ◽  
Corentin Girart ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Change ◽  
Climate Change Impacts ◽  
Adaptation Strategy ◽  
Climate Change Scenarios ◽  
Adaptation Measures ◽  
La Mancha ◽  
Local Impacts ◽  
Del Rio ◽  
Adaptation Processes

<p>This paper develops a participatory methodology to integrate farmer’s vision in the design of an adaptation strategy to global change in the Jucar River basin. It aims at answering three questions: How farmers perceive climate change impacts; which adaptation measures they consider; and how they assess these measures. Participatory workshops with different actors were held in two areas (La Ribera and La Mancha Oriental). This methodology has allowed identifying the local impacts and consequences of global change, and the difficulties of the adaptation processes to climate change scenarios.</p>

Modelling impacts of different climate change scenarios on soil water regime of a Mollisol

2005 ◽  
Vol 33 (1) ◽  
pp. 185-188 ◽  
Author(s):  
Csilla Farkas ◽  
Roger Randriamampianina ◽  
Juraj Majerčak
Keyword(s):  
Climate Change ◽  
Soil Water ◽  
Water Regime ◽  
Climate Change Scenarios ◽  
Soil Water Regime

scholarly journals Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity

2021 ◽  
Author(s):  
Mark Cooper ◽  
Kai P. Voss-Fels ◽  
Carlos D. Messina ◽  
Tom Tang ◽  
Graeme L. Hammer
Keyword(s):  
Climate Change ◽  
Crop Improvement ◽  
Target Population ◽  
Crop Productivity ◽  
Climate Change Scenarios ◽  
Global Food Security ◽  
Genotype By Environment ◽  
Improvement Strategies ◽  
Yield Gaps ◽  
On Farm

Abstract Key message Climate change and Genotype-by-Environment-by-Management interactions together challenge our strategies for crop improvement. Research to advance prediction methods for breeding and agronomy is opening new opportunities to tackle these challenges and overcome on-farm crop productivity yield-gaps through design of responsive crop improvement strategies. Abstract Genotype-by-Environment-by-Management (G × E × M) interactions underpin many aspects of crop productivity. An important question for crop improvement is “How can breeders and agronomists effectively explore the diverse opportunities within the high dimensionality of the complex G × E × M factorial to achieve sustainable improvements in crop productivity?” Whenever G × E × M interactions make important contributions to attainment of crop productivity, we should consider how to design crop improvement strategies that can explore the potential space of G × E × M possibilities, reveal the interesting Genotype–Management (G–M) technology opportunities for the Target Population of Environments (TPE), and enable the practical exploitation of the associated improved levels of crop productivity under on-farm conditions. Climate change adds additional layers of complexity and uncertainty to this challenge, by introducing directional changes in the environmental dimension of the G × E × M factorial. These directional changes have the potential to create further conditional changes in the contributions of the genetic and management dimensions to future crop productivity. Therefore, in the presence of G × E × M interactions and climate change, the challenge for both breeders and agronomists is to co-design new G–M technologies for a non-stationary TPE. Understanding these conditional changes in crop productivity through the relevant sciences for each dimension, Genotype, Environment, and Management, creates opportunities to predict novel G–M technology combinations suitable to achieve sustainable crop productivity and global food security targets for the likely climate change scenarios. Here we consider critical foundations required for any prediction framework that aims to move us from the current unprepared state of describing G × E × M outcomes to a future responsive state equipped to predict the crop productivity consequences of G–M technology combinations for the range of environmental conditions expected for a complex, non-stationary TPE under the influences of climate change.

scholarly journals Mapping current and potential future distributions of the oak tree (Quercus aegilops) in the Kurdistan Region, Iraq

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Nabaz R. Khwarahm
Keyword(s):  
Climate Change ◽  
Habitat Suitability ◽  
Environmental Variables ◽  
Climate Changes ◽  
Future Climate ◽  
Annual Precipitation ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Kurdistan Region ◽  
Oak Tree

Abstract Background The oak tree (Quercus aegilops) comprises ~ 70% of the oak forests in the Kurdistan Region of Iraq (KRI). Besides its ecological importance as the residence for various endemic and migratory species, Q. aegilops forest also has socio-economic values—for example, as fodder for livestock, building material, medicine, charcoal, and firewood. In the KRI, Q. aegilops has been degrading due to anthropogenic threats (e.g., shifting cultivation, land use/land cover changes, civil war, and inadequate forest management policy) and these threats could increase as climate changes. In the KRI and Iraq as a whole, information on current and potential future geographical distributions of Q. aegilops is minimal or not existent. The objectives of this study were to (i) predict the current and future habitat suitability distributions of the species in relation to environmental variables and future climate change scenarios (Representative Concentration Pathway (RCP) 2.6 2070 and RCP8.5 2070); and (ii) determine the most important environmental variables controlling the distribution of the species in the KRI. The objectives were achieved by using the MaxEnt (maximum entropy) algorithm, available records of Q. aegilops, and environmental variables. Results The model demonstrated that, under the RCP2.6 2070 and RCP8.5 2070 climate change scenarios, the distribution ranges of Q. aegilops would be reduced by 3.6% (1849.7 km2) and 3.16% (1627.1 km2), respectively. By contrast, the species ranges would expand by 1.5% (777.0 km2) and 1.7% (848.0 km2), respectively. The distribution of the species was mainly controlled by annual precipitation. Under future climate change scenarios, the centroid of the distribution would shift toward higher altitudes. Conclusions The results suggest (i) a significant suitable habitat range of the species will be lost in the KRI due to climate change by 2070 and (ii) the preference of the species for cooler areas (high altitude) with high annual precipitation. Conservation actions should focus on the mountainous areas (e.g., by establishment of national parks and protected areas) of the KRI as climate changes. These findings provide useful benchmarking guidance for the future investigation of the ecology of the oak forest, and the categorical current and potential habitat suitability maps can effectively be used to improve biodiversity conservation plans and management actions in the KRI and Iraq as a whole.

Impact assessment of common bean availability in Brazil under climate change scenarios

2021 ◽  
Vol 191 ◽  
pp. 103174
Author(s):  
Luís A.S. Antolin ◽  
Alexandre B. Heinemann ◽  
Fábio R. Marin
Keyword(s):  
Climate Change ◽  
Impact Assessment ◽  
Common Bean ◽  
Climate Change Scenarios
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